# Senior Network Security/AI Software Engineering at Intel

Intel is hiring a Senior Network Security/AI Software Engineering. It pays €142k a year and Level rates it Builds AI ●●●●; you can [apply on Intel](https://jobsbylevel.com/go/01f1b5cd-fb6c-48c9-80d4-6afaf671b2eb?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Ireland, Leixlip.

## Details

- Company: [Intel](https://jobsbylevel.com/companies/intel)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Ireland, Leixlip
- Salary: €142k
- Posted: November 9, 2026
- Apply: https://jobsbylevel.com/go/01f1b5cd-fb6c-48c9-80d4-6afaf671b2eb?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-network-security-ai-software-engineering-at-intel-c48532

## Prepare for this job

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## Description

Job Details: Job Description: The Senior Network Security Software Development Engineer will lead the architecture, development, and delivery of open-source, high-performance network security and AI reference solutions for the Network Software Enabling team in the Enterprise/Cloud Networking segment. This role works closely with architects, customers, and ecosystem partners to define technical requirements and to build reference workloads, with best known methods and configurations, optimized for Intel® Xeon® processors and accelerators across on-prem, edge, and cloud deployments. The successful candidate will drive the design and optimization of security data planes and AI-enabled security workloads. These include Next-Generation Firewall, Secure Web Gateway, SD-WAN etc. focusing on key performance areas such as scale-up, load distribution, crypto processing, pattern matching, and the migration to AI-driven security functions. The role requires expertise in high-performance packet processing, network security functions, hardware acceleration, performance engineering, and deployment automation. Key Responsibilities Own the architecture and technical roadmap for one or more network security reference solutions, and keep design consistent across the portfolio. Design and optimize packet-processing and security pipelines for throughput, latency, and TCO on current and upcoming Intel® Xeon® platforms. Integrate hardware acceleration technologies (QAT, AVX-512/AMX, NIC offloads) into open-source security stacks such as Snort3, VPP, and Hyperscan. Enable and optimize AI/ML models for security use cases such as malicious URL detection, phishing and fraud detection, anomaly detection, and encrypted traffic analysis, utilizing technologies such as OpenVINO™, vLLM. Lead performance characterization, define benchmarking methods, and produce the collateral that shows customer value. Drive Infrastructure as Code (IaC) automation for cloud and edge deployment, provisioning, and benchmarking using tools such as Terraform, Packer, and Ansible. Evaluate emerging network security, AI, and platform technologies, and drive innovation through proofs of concept and reference implementations. Provide technical leadership, mentor engineers, and lead design and code reviews. Represent the team with customers, partners, and upstream open-source communities to speed up adoption of Intel-powered solutions. Qualifications: Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical discipline. 10+ years of experience in networking or systems software development. Strong programming skills in C and/or C++/Rust on Linux, with Python, PowerShell or Bash for tooling. Hands-on experience with high-performance networking technologies such as DPDK, VPP, or kernel networking/XDP. Exposure to AI/ML technologies and concepts, such as model training and inference, neural network architectures (CNNs, transformers), and LLMs, and how they apply to network security workloads. Excellent communication and collaboration skills, with a proven ability to lead technical work across teams. Preferred Qualifications Master's or PhD in Computer Science, Electrical Engineering, or a related field. Strong background in network security: firewall, IPS/IDS, IPsec/TLS, VPN, or deep packet inspection (DPI) and pattern matching. Experience with AI/ML training and inference optimization (including model compression) for security use cases, using frameworks such as PyTorch, TensorFlow, OpenVINO™, and vLLM. Upstream contributions to DPDK, VPP, Linux, or related networking/security open-source projects. Track record of profiling and tuning performance at the microarchitecture level. Experience with containers, Kubernetes, and cloud or edge deployment automation. Experience integrating hardware acceleration technologies (QAT, NIC offloads) and vectorized optimization of software pipelines. Experience with Snort3,

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